Results 151 to 160 of about 50,616 (261)

Supply Chain Sustainability and Human Capital: A Multilevel Analysis

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how corporate sustainability practices diffuse across global supply chains and how national contextual capacity shapes this process. Drawing on stakeholder and institutional perspectives, we conceptualize ESG transmission as relational and potentially asymmetric between customers and suppliers.
Jun Xie, Seifu Okumoto, Kenichi Yoshida, Shuning Chen, Alexander Ryota Keeley, Shunsuke Managi   +5 more
wiley   +1 more source

Bayesian Hierarchical Spatiotemporal Prediction of Multi-pathogen Outbreaks: Integrating Mobility and Environmental Exposures. [PDF]

Cureus
Adekunle H, Adewuyi OS, Okunola K, Balogun OT.   +3 more
europepmc   +1 more source

Consumer Adoption of Internet of Things

Journal of Consumer Behaviour, Volume 24, Issue 2, Page 673-693, March 2025.
ABSTRACT The Internet of Things (IoT), a pivotal technology in enhancing user connectivity, faces a paradox: its widespread potential yet limited consumer adoption. This study addresses this dichotomy by synthesizing a large‐scale meta‐analytic structural equation modeling (MASEM) and hierarchical linear meta‐analysis (HiLMA) of 2736 effect sizes from ...
Wagner Junior Ladeira, Weng Marc Lim, Fernando de Oliveira Santini, Tareq Rasul, Bernardo Frantz, Jean Carlos de Oliveira Rosa, Mohd Azhar   +6 more
wiley   +1 more source

Extrapolation of Time-to-Event Survival Outcomes of Histology-Independent Therapies Using a Bayesian Hierarchical Model. [PDF]

Med Decis Making
Mikelson J, Birnie R, McCarthy G, Madin-Warburton M, Xu R, Chumbley J, Aguiar-Ibáñez R, Amonkar M, Baio G, Young K.   +9 more
europepmc   +1 more source

National Context and STEM Career Expectations: Social Comparison and Gender Differences Across 72 Economies

The Career Development Quarterly, EarlyView.
ABSTRACT Adolescents’ career expectations play a pivotal role in shaping identity and future opportunities, yet little is known about how national‐level comparisons influence these expectations. Drawing on social comparison theory, this study examines how relative standing in science achievement, socioeconomic status (SES), and math self‐efficacy is ...
Luyang Guo
wiley   +1 more source

A multilevel hierarchical framework for quantification of experimental heterogeneity in population snapshot data. [PDF]

PLoS Comput Biol
Warne DJ, Zhu X, Steele TP, Johnston ST, Sisson SA, Faria M, Murphy RJ, Browning AP.   +7 more
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Multiple data set Bayesian analysis synergistically boosts ITC parameter precision. [PDF]

Biophys J
Otten L, Walker DR, Barbar EJ, Zuckerman DM.   +3 more
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source